Trust-and-safetyas autonomous infrastructure.
The work that used to require a moderation workforce, now done by software. Comments, DMs, and mentions ingested, classified, and auto-actioned at scale. Reviewers are engaged only where their judgment is decisive.
The system processes every comment and message.Reviewers are engaged only when judgment is decisive.
Detection, classification, auto-action, and audit packaging run autonomously across the full platform surface. Trust-and-safety reviewers are engaged only at decision points.
Ingestion
Platform feed
Comments, DMs, and mentions ingested via official Graph APIs. Least-privilege tokens. No human review.
Detection
Trust-and-safety ontology
Abuse, harassment, scams, threats, CSAM signals, and predatory contact scored in context. No human review.
Auto-Action
Hide / Quarantine
Abusive content auto-hidden via Graph APIs. Reports filed where required. No human review at every step.
Audit Packaging
Compliance-ready
Every action logged with permalink, timestamp, and reviewer. Exportable evidence packs. No human review.
Reviewer Escalation
Human in the loop
Routed to your trust-and-safety team only at decision points where their judgment is decisive — not for every flag.
Trust-and-safety-as-a-service. Autonomous by default. Reviewer-in-the-loop by design.
What the system does, autonomously.
Comments
Ingest → classify → auto-hide → review queues (Priority / Quarantine) → one-click unhide / delete / report via official Graph APIs.
Direct Messages
Detect threats, harassment, scams; surface important messages; quarantine abuse; route evidence to legal.
Languages
English and Arabic today, including regional dialects; allow-lists for context-specific slang; reviewer-feedback tuning.
Evidence & Audit
Screenshots, IDs/permalinks, timestamps, action trail; exportable packs; repeat-offender detection.
Alerts
Email/Slack/Teams routing for high-severity incidents requiring immediate human attention.
Compliance
Meta APIs only; least-privilege tokens; AU data residency (configurable); SSO/roles.
Why platforms deploy Guardii.
Workforce displacement
The work that required a moderation workforce, automated. Headcount allocated to decision-making, not triage.
Brand preservation
Hide fast, unhide when safe. Brand surface protected without reactive moderation.
Audit-grade compliance
Every action logged with chain of custody. Exportable evidence packs for regulators and platform partners.
Operations ready
Built for traffic surges, weekend cover, and out-of-hours autonomous handling at platform scale.
Club Safety Operations Dashboard
Real-time player protection across all social media platforms — match-day and beyond
Player Protection Status
Last 7 daysRecent Activity
41 abusive comments and DMs auto-hidden across Player E's Instagram — racial abuse surge post-match
12m agoThreatening DM to Player C quarantined — evidence pack sent to legal
38m agoRepeat offender detected — 3rd account targeting Player A with racial slurs
1h agoMatch-day surge: 2,400 comments and messages processed in 90 minutes — 89 auto-hidden
2h agoWeekly report generated — 142 threats blocked across all player accounts
4h agoMatch-Day Ready
Handles comment and message surges of 10,000+ per hour. Auto-hide keeps abuse off player feeds and inboxes in real-time.
Evidence Packs for Legal
Screenshots, permalinks, timestamps, and action trails — exportable for police reports or league action.
Compliance Reporting
Automated weekly/monthly reports for the AFL, sponsors, and club leadership on abuse trends.
English and Arabic. Dialects included.Reviewed by native speakers before it ships.
Detection runs in English and Arabic today, tuned for regional dialects, transliterated text and code-switching across LTR and RTL scripts, with allow-lists for context-specific slang. Further languages ship only once native speakers have reviewed them.
Detection // Classification // Escalation — in any language the population speaks.
Engage the deployment team
Ready to deploy autonomous trust-and-safety into your platform?
// Direct
cam@guardii.ai